---
id: "entity-sweetgreen"
type: "entity"
entityType: "organization"
canonicalName: "Sweetgreen"
aliases: ["Sweetgreen"]
source_timestamps: ["§ When You Need the “Why” Behind the Numbers"]
tags: ["brand", "case-study"]
related: ["entity-listen-labs", "claim-sweetgreen-efficiency-gains", "entity-jonathan-neman"]
sources: ["commercial"]
sourceVaultSlug: "hbr-seg-commercial"
originDay: 5
articleStem: "hbr-new-30-ai-scale-customer-research"
sourceUrl: "https://hbr.org/2026/04/how-ai-helps-scale-qualitative-customer-research"
sourceTitle: "How AI Helps Scale Qualitative Customer Research"
---
# Sweetgreen

**Sweetgreen** is a fast-casual salad/restaurant chain that worked with [[entity-listen-labs]] to explore menu desires. The AI discovered customers wanted to **see and customize macronutrients**, leading to a new in-app tracking tool. Per CEO [[entity-jonathan-neman]], the research ran at **1/3 the cost, with 5× the responses, and 5× as fast**.

## Contributions in this source

- Headline ROI case → [[claim-sweetgreen-efficiency-gains]]; supports the first use case in [[framework-ai-moderation-use-cases]].

## Canonical reference

sweetgreen.com. Digitally savvy brand frequently cited for menu innovation and digital-experience experimentation. The 3×/5× ratios are company-reported (see claim note).